Yan Gao

198 total papers · 1.8k total citations
110 papers, 814 citations indexed

About

Yan Gao is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, Yan Gao has authored 110 papers receiving a total of 814 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 23 papers in Electrical and Electronic Engineering and 14 papers in Materials Chemistry. Recurrent topics in Yan Gao's work include RNA modifications and cancer (7 papers), Advanced battery technologies research (6 papers) and Supercapacitor Materials and Fabrication (6 papers). Yan Gao is often cited by papers focused on RNA modifications and cancer (7 papers), Advanced battery technologies research (6 papers) and Supercapacitor Materials and Fabrication (6 papers). Yan Gao collaborates with scholars based in China, United States and Singapore. Yan Gao's co-authors include Xiaoying Xu, Jiaming Wang, Ying Huang, Hailin Cong, Bing Yu, Dayang Wang, Zhi‐Jun Pei, Yafeng Song, Junhui Zou and Jing Zeng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Advanced Materials.

In The Last Decade

Yan Gao

77 papers receiving 803 citations

Hit Papers

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Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yan Gao 299 226 133 101 88 110 814
Caihua Huang 332 1.1× 139 0.6× 111 0.8× 42 0.4× 145 1.6× 81 874
Ping Ni 355 1.2× 98 0.4× 78 0.6× 77 0.8× 139 1.6× 64 943
Jingyi Cao 332 1.1× 132 0.6× 107 0.8× 63 0.6× 129 1.5× 71 933
Han Bao 351 1.2× 120 0.5× 120 0.9× 61 0.6× 170 1.9× 64 1.0k
Yujie Cao 280 0.9× 60 0.3× 161 1.2× 83 0.8× 141 1.6× 94 986
Qingfeng Hu 183 0.6× 63 0.3× 88 0.7× 120 1.2× 84 1.0× 77 902
Xiaoni Ma 423 1.4× 62 0.3× 95 0.7× 68 0.7× 134 1.5× 52 1.1k
Kang Tang 226 0.8× 56 0.2× 187 1.4× 156 1.5× 97 1.1× 51 985
Yanmei Liu 449 1.5× 170 0.8× 109 0.8× 106 1.0× 110 1.3× 70 967
Yijie Tang 438 1.5× 156 0.7× 171 1.3× 41 0.4× 98 1.1× 45 936

Countries citing papers authored by Yan Gao

Since Specialization
Citations

This map shows the geographic impact of Yan Gao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yan Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Gao more than expected).

Fields of papers citing papers by Yan Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yan Gao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yan Gao. The network helps show where Yan Gao may publish in the future.

Co-authorship network of co-authors of Yan Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Gao. A scholar is included among the top collaborators of Yan Gao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yan Gao. Yan Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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